Raviteja Vangara

Background

About Raviteja Vangara

Open to Opportunities. Versatile interdisciplinary researcher with expertise in the application of machine learning techniques for various scientific applications. Professional expertise in all areas of research practices: Designing and executing experiments, researching and evaluating existing methodologies, summarizing analyses with the best possible documentation, and data visualizations, and writing and publishing manuscripts in esteemed peer-reviewed journals. Published several scientific articles in machine learning, Bioinformatics, and chemical physics. Proficiency in programming languages Python and Matlab. Professional expertise in various machine learning methodologies in Supervised and Unsupervised ML. Experience in developing and implementing scalable machine learning models for high-performance computing (HPC) applications with experience on HPC systems of Los Alamos National Laboratory, Oak Ridge National Laboratory, the University of California- San Diego, and the University of New Mexico. Experience in working under large-scale software development teams. Managing code through various version control systems (Gitlab and Github). Experience in working on strong collaborative projects and communicating technical details on diverse and interdisciplinary teams. Peer Reviewer for many reputed scientific journals and conferences.